Studienplan

Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore
the need arises to utilize techniques enabling applications to react to
the aspects of the ever changing environment and the user’s needs/goals/tasks. This module gives an overview of the corresponding aspects/techniques/patterns to write applications which can react to a dynamic environment.

Location-Based and Context-Aware Systems

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, …

Immersion in the construction and functions of public and private mobile networks. Knowledge of architecture, protocols, interfaces
and services in order to be able to develop applications in a futureoriented way. Survey of planning aspects to assure the availability of services.

Mobile Services

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Survey of Services and Service Architecture, Mobile Messaging (SMS, EMS, MMS, Unified Messaging), IMS (IP Multimedia Subsystem) incl. Group List Management, Presence, Location-Based Services, SIP, VoIP

Immersion in the radio resource algorithms used in mobile networks.
Knowledge of handover, power control and channel allocation in order to be able to identify critical parameters for the spectrum efficiency of mobile networks. Application of the algorithms to modern communication systems like GSM/UMTS/HSDPA/LTE.

Communication Networks

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Network Technologies and Algorithms. Specialization in GSM/UMTS/HSDPA/WLAN (Handover, Power Control, Channel Allocation, Mobility, QoS).

Immersion in the modern concepts used in mobile networks.
Knowledge of scheduling algorithms, multi antenna technology and
OFDM in order to understand the major concepts helping to increase
the limits in data rate, QoS and latency.

Contemporary Concepts in Mobile Communication

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Survey of modern concepts in mobile systems. Scheduler as the key element in packet oriented networks, OFDM as the state of the art modulation scheme to deal with high data rates over mobile radio channels, multi antenna technology (antenna diversity, smart antennas, MIMO,…) to increase the utilizable channel capacity.

Immersion in modeling and simulation of components of a mobile
network as well as of entire systems. Knowledge about architectures,
interfaces and modeling levels in order to be able to design a
simulation environment. Ability to interpret the meaning of the
simulation results.

Modeling and Simulation of Mobile Networks

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Simulation and modeling methods, representation of signals and systems, random numbers and processes for the simulation, creation of non-uniformly distributed random numbers, Monte Carlo method, convergence behavior, transmission channels.

This course introduces students to the modern technology involved
with commercial wireless communications systems such as Bluetooth, ZigBee, and other topics. Hardware and software implementations of system components are presented and analyzed.

Short-Range Wireless Communication

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC

Today's mobile devices are characterized by an increasing number
of integrated sensors for detecting e.g. the motion, orientation
and position of the device, and they have opened a variety of new features in smartphones and other handheld devices. In addition to new sensors, the integration of wireless communication technologies like Wi-Fi, Bluetooth or NFC gives them the ability to interact with each other and their environment, extending the possibilities of mobile applications further. In this module, the students will gain a profound understanding of wireless network technologies and sensor technology fundamentals, a broad overview of already available technologies and upcoming trends, as well as the ability to analyze, design and construct networked sensor systems.

Sensors and Networks

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- Compensated Compass, Orientation Sensors, Wireless Indoor Positioning Techniques and Technologies), Mobile Ad-Hoc Networks and Routing Protocols (e.g. Flooding, Distance Vector Routing, DSDV Routing, DSR and Zone Routing), Wireless Communication Technologies (e.g. WLAN/IEEE 802.11, Bluetooth/IEEE 802.15.1, ZigBee/IEEE 802.15.4, RFID and NFC), Wireless Sensor Networks (e.g. Communication Architecture, Sensor Nodes, Applications, Design Characteristics, Power Scavenging, Time Synchronization, Distributed Localization and Simulation Environments).

Mobile Business is based on the assumption that the increasing
power, functionality and pervasiveness of mobile computing devices
leads to new opportunities for businesses. These opportunities include an improvement of customer service, a reduction of costs, a
mobilization of the sales force, an increase of productivity in the field
service, the emergence of new business models and new ways of
gaining strategic competitive advantage in the marketplace. The
purpose of this module is to introduce participants to the fundamental concepts, strategies and technologies associated with the implementation of mobile computing. Students will gain the ability to play an active role in the development of mobile business opportunities in the organizations in which they work. Although the emphasis is on commercial enterprises, many of the topics of this module can be applied to government agencies and non-profit organizations as well, as they also need mobile computing solutions to improve customer service, reduce costs and increase the productivity of their employees.

Mobile Business and Marketing

Semester	4
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong positions in national competition are important to drive profitable business. According to these issues, the outline of the module is as follows: - Maturing markets Saturation of mobile penetration in European markets, keep customers as the main challenge for MNOs - New and more competitors Area of competition has broadened, Facebook, Google, Microsoft and Apple are partners and competitors at the same time, in areas like: o Mobile operating systems o Search o Payment o Mobile advertisement - Broadband for gigabit society Increase of bandwidth demand - Mobile internet Growth of mobile internet business -Digital life and work Online storage, cloud computing, sharing, digital social life, mobile workplace

Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore
the need arises to utilize techniques enabling applications to react to
the aspects of the ever changing environment and the user’s needs/goals/tasks. This module gives an overview of the corresponding aspects/techniques/patterns to write applications which can react to a dynamic environment.

Location-Based and Context-Aware Systems

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, …

Augmented Reality (i. e. the overlay of computer graphics onto the
real world) is increasingly becoming popular and on smartphones.
This course provides students with an introduction to the field of
Augmented Reality as well as the necessary knowledge on how to
build mobile Augmented Reality applications.

Augmented Reality

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Mathematical and physical fundamentals, AR Applications, Image Registration, Tracking, Augmented Reality Interaction Techniques, Mobile Augmented Reality, Mobile Augmented Reality Platforms and SDKs (ARToolKit, mixare, QCAR, osgART, Junaio, Layar, Wikitude).

Immersion in home and building automation systems and programming with a special focus on EIB/KNX, LON and digitalstrom.

Home and Building Automation

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
EIB/KNX, LON, digitalstrom, UPnP, CEBus, DALI, EHS, HAVi, HomePlug, HomeRF, Jini, X10, Cobranet, AMX, Crestron

This course introduces students to the modern technology involved
with commercial wireless communications systems such as Bluetooth, ZigBee, and other topics. Hardware and software implementations of system components are presented and analyzed.

Short-Range Wireless Communication

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC

Today's mobile devices are characterized by an increasing number
of integrated sensors for detecting e.g. the motion, orientation
and position of the device, and they have opened a variety of new features in smartphones and other handheld devices. In addition to new sensors, the integration of wireless communication technologies like Wi-Fi, Bluetooth or NFC gives them the ability to interact with each other and their environment, extending the possibilities of mobile applications further. In this module, the students will gain a profound understanding of wireless network technologies and sensor technology fundamentals, a broad overview of already available technologies and upcoming trends, as well as the ability to analyze, design and construct networked sensor systems.

Sensors and Networks

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- Compensated Compass, Orientation Sensors, Wireless Indoor Positioning Techniques and Technologies), Mobile Ad-Hoc Networks and Routing Protocols (e.g. Flooding, Distance Vector Routing, DSDV Routing, DSR and Zone Routing), Wireless Communication Technologies (e.g. WLAN/IEEE 802.11, Bluetooth/IEEE 802.15.1, ZigBee/IEEE 802.15.4, RFID and NFC), Wireless Sensor Networks (e.g. Communication Architecture, Sensor Nodes, Applications, Design Characteristics, Power Scavenging, Time Synchronization, Distributed Localization and Simulation Environments).

Mobile Business is based on the assumption that the increasing
power, functionality and pervasiveness of mobile computing devices
leads to new opportunities for businesses. These opportunities include an improvement of customer service, a reduction of costs, a
mobilization of the sales force, an increase of productivity in the field
service, the emergence of new business models and new ways of
gaining strategic competitive advantage in the marketplace. The
purpose of this module is to introduce participants to the fundamental concepts, strategies and technologies associated with the implementation of mobile computing. Students will gain the ability to play an active role in the development of mobile business opportunities in the organizations in which they work. Although the emphasis is on commercial enterprises, many of the topics of this module can be applied to government agencies and non-profit organizations as well, as they also need mobile computing solutions to improve customer service, reduce costs and increase the productivity of their employees.

Mobile Business and Marketing

Semester	4
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong positions in national competition are important to drive profitable business. According to these issues, the outline of the module is as follows: - Maturing markets Saturation of mobile penetration in European markets, keep customers as the main challenge for MNOs - New and more competitors Area of competition has broadened, Facebook, Google, Microsoft and Apple are partners and competitors at the same time, in areas like: o Mobile operating systems o Search o Payment o Mobile advertisement - Broadband for gigabit society Increase of bandwidth demand - Mobile internet Growth of mobile internet business -Digital life and work Online storage, cloud computing, sharing, digital social life, mobile workplace

Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore
the need arises to utilize techniques enabling applications to react to
the aspects of the ever changing environment and the user’s needs/goals/tasks. This module gives an overview of the corresponding aspects/techniques/patterns to write applications which can react to a dynamic environment.

Location-Based and Context-Aware Systems

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, …

Augmented Reality (i. e. the overlay of computer graphics onto the
real world) is increasingly becoming popular and on smartphones.
This course provides students with an introduction to the field of
Augmented Reality as well as the necessary knowledge on how to
build mobile Augmented Reality applications.

Augmented Reality

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Mathematical and physical fundamentals, AR Applications, Image Registration, Tracking, Augmented Reality Interaction Techniques, Mobile Augmented Reality, Mobile Augmented Reality Platforms and SDKs (ARToolKit, mixare, QCAR, osgART, Junaio, Layar, Wikitude).

Graduates acquire actionable knowledge in building intelligent systems using deductive methodologies and techniques of artificial
intelligence.

Artificial Intelligence

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
This course will provide an understanding of the fundamental concepts underlying modern intelligent systems. Topics covered will include intelligent agent design, informed and uninformed search algorithms, methods for solving constraint satisfaction problems, searching in game situations, planning algorithms, knowledge representation and inference using logic and probability theory, and Bayesian networks and Markov chains.

Einführung in Basistechniken der Mustererkennung und Computer Vision als Grundlage für die Realisierung interaktiver Anwendungen.

Computer Vision

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to fundamental techniques in computer vision. Localization and classification of 2D objects, shape descriptions, image matching, color and texture analysis, segmentation, invariant features, curve fitting, motion detection, optical flow, feature detection and tracking, 3D geometry, camera calibration, scene and object reconstruction, self-localization, object recognition. Analysis and implementation of standard methods.

Immersion in home and building automation systems and programming with a special focus on EIB/KNX, LON and digitalstrom.

Home and Building Automation

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
EIB/KNX, LON, digitalstrom, UPnP, CEBus, DALI, EHS, HAVi, HomePlug, HomeRF, Jini, X10, Cobranet, AMX, Crestron

Human-computer interaction is an important and at the same time challenging issue in the area of mobile computing. Although user-friendly interfaces are essential in the mobile interaction with computers, their development is challenging due to the limited input and output possibilities of mobile devices, the potentially changing environments in which the interaction takes
place, and the heterogeneity of sensor and actuator technologies
which can be used for interaction purposes, among others. This
module covers concepts, principles, models, methods and techniques
for the development of user-friendly human-machine interfaces, which can be related to classical computers, but also to mobile devices and intelligent environments. Students will learn different approaches to the design, development and evaluation of human-machine interfaces, and understand their advantages and disadvantages. They will develop an understanding of user-centered system design, and gain the ability to design and evaluate interactive applications as well as new interaction techniques for mobile devices.

Interactive Technologies

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to (Mobile) HCI and Usability, History and Future Technologies of HCI (e.g. Eye Tracking, BCI and Gestures), Tools and Methods for the Design of Interactive Systems (e.g. Brainstorming, Storyboards and Wizard of Oz), Iterative Design Process and Prototyping Techniques (e.g. Paper Prototyping), Requirements Analysis (e.g. Diary Studies and Video Observation), HCI Principles and Models (e.g. Eight Golden Rules, Fitts’ Law, Hick’s Law and KLM), Human Perception (e.g. Visual Perception and Hearing) and Cognitive Abilities of Humans, Taxonomy and Survey of I/O Technologies (e.g. 2D/3D Input Devices, Force Feedback, Display and Projector Technologies and 3D Displays, Multimodal Input), Evaluation of User Interfaces and Statistical Tests (e.g. t-Test and ANOVA), Mobile HCI (e.g. Input Techniques and Technologies, Text Input Metrics, Speech and Gesture Recognition, OCR, Visual Markers, Haptic I/O and Pen-Based Computing), Tangible User Interfaces.

This course introduces students to the modern technology involved
with commercial wireless communications systems such as Bluetooth, ZigBee, and other topics. Hardware and software implementations of system components are presented and analyzed.

Short-Range Wireless Communication

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC

Today's mobile devices are characterized by an increasing number
of integrated sensors for detecting e.g. the motion, orientation
and position of the device, and they have opened a variety of new features in smartphones and other handheld devices. In addition to new sensors, the integration of wireless communication technologies like Wi-Fi, Bluetooth or NFC gives them the ability to interact with each other and their environment, extending the possibilities of mobile applications further. In this module, the students will gain a profound understanding of wireless network technologies and sensor technology fundamentals, a broad overview of already available technologies and upcoming trends, as well as the ability to analyze, design and construct networked sensor systems.

Sensors and Networks

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- Compensated Compass, Orientation Sensors, Wireless Indoor Positioning Techniques and Technologies), Mobile Ad-Hoc Networks and Routing Protocols (e.g. Flooding, Distance Vector Routing, DSDV Routing, DSR and Zone Routing), Wireless Communication Technologies (e.g. WLAN/IEEE 802.11, Bluetooth/IEEE 802.15.1, ZigBee/IEEE 802.15.4, RFID and NFC), Wireless Sensor Networks (e.g. Communication Architecture, Sensor Nodes, Applications, Design Characteristics, Power Scavenging, Time Synchronization, Distributed Localization and Simulation Environments).

Mobile Business is based on the assumption that the increasing
power, functionality and pervasiveness of mobile computing devices
leads to new opportunities for businesses. These opportunities include an improvement of customer service, a reduction of costs, a
mobilization of the sales force, an increase of productivity in the field
service, the emergence of new business models and new ways of
gaining strategic competitive advantage in the marketplace. The
purpose of this module is to introduce participants to the fundamental concepts, strategies and technologies associated with the implementation of mobile computing. Students will gain the ability to play an active role in the development of mobile business opportunities in the organizations in which they work. Although the emphasis is on commercial enterprises, many of the topics of this module can be applied to government agencies and non-profit organizations as well, as they also need mobile computing solutions to improve customer service, reduce costs and increase the productivity of their employees.

Mobile Business and Marketing

Semester	4
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong positions in national competition are important to drive profitable business. According to these issues, the outline of the module is as follows: - Maturing markets Saturation of mobile penetration in European markets, keep customers as the main challenge for MNOs - New and more competitors Area of competition has broadened, Facebook, Google, Microsoft and Apple are partners and competitors at the same time, in areas like: o Mobile operating systems o Search o Payment o Mobile advertisement - Broadband for gigabit society Increase of bandwidth demand - Mobile internet Growth of mobile internet business -Digital life and work Online storage, cloud computing, sharing, digital social life, mobile workplace

Especially the strong fluctuation and heterogeneity of end user devices, together with their distribution in the room, make the development of mobile applications a laborious undertaking. Students gain knowledge that enables them, on one hand, to develop software for mobile end user devices and, on the other hand, to design and develop complex and distributed SW systems.

Operating Systems for Mobile Applications

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Focus on selected mobile operating systems: Android, iOS, BADA, Mobile Linux, BlackBerry, Phone 7 and other operating systems coming up in the next years.

Due to the restrictive and highly dynamical environment, designing
mobile applications is a feasible task. But, to develop flexible and
maintainable software architecture prior knowledge of well tested
software design techniques and patterns on the architectural side as
well as on the component side is required. Therefore this module
focuses on a survey and evaluation of common known software
design techniques and software pattern.

Software Architectures and Patterns

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Software Architecture Design Process, Process Models, Software Pattern, Architectural Pattern (Layers, Pipes and Filters, MVC, Blackboard, …), Design Pattern (Builder, Factory, Command, Decorator, Strategy, …), Idioms, Anti-Pattern

Graduates learn the system architecture of the main cloud computing platforms and can assess their applications. They acquire a sound knowledge in the design of highly scalable software applications and can apply the relevant architectural patterns. The graduates are familiar with the programming models and available services of major cloud-computing providers, and are capable of designing cloud applications for these platforms.

Cloud Computing

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Basic principles of cloud computing (idea and motivation, opportunities and risks, application areas), architecture of cloud computing platforms (layer model for the classification of platforms, IaaS, PaaS, SaaS), architecture of cloud applications (tier architecture, AOP, stateful / stateless Services, loose coupling, separation of concerns, asynchronous message processing), Google App Engine (architecture, memory models, task queues, integration of external services, security, programming model), Microsoft Windows Azure (Architecture, Fault Tolerance, programming model, memory services: Blobs, tables , queues, SQL Azure, Windows Azure service bus), Amazon Web Services (architecture, EC2, SQS, SNS, S3, load balancing, VPC).

With about ten major platforms and operating systems on
smartphones (e. g., Symbian, RIM, iOS, Windows Phone7, Android,
webOS, Bada, Maemo, Meego, Linux, Brew) with their own native
development language (usually C++, Java, Objective-C, C#, Java
script), developing and maintaining application software for all of
those operating systems becomes quite costly. Cross-platform development, which is typically based on frameworks, promises to
reduce that development and maintenance effort.
Students will be able to assess the applicability of cross-platform
development approaches and learn how to use popular crossplatform frameworks.

Cross-Platform Development of Mobile Applications

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
This course focuses on technical aspects (architecture, design, patterns in cross development frameworks) as well as the applicability of such frameworks in an industrial context (usability, look-and-feel, deployment) and gives an overview about commonly used crossplatform frameworks, including: - Native cross-platform frameworks: Rhodes and RhoSync, PhoneGap, Titanium Mobile, QuickConnectFamily, Bedrock, Corona, MoSync SDK, Qt Mobility, Adobe Flash Lite, Adobe AIR, Unity, … - HTML/HTML5/CSS/Javascript frameworks: Sencha Touch, JQTouch, iWebKit, iUI, xUI, Magic Framework, Dashcode, CiUI, Safire, iphone-universial (UiUIKit), WebApp.Net, The Dojo Toolkit, Jo, …

Immersion in real-time design and programming with a special focus
on real-time communication.

Distributed Real-Time Systems

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Fundamentals of RT Systems (hard/soft RT systems, scheduling etc.), Distributed Systems, Distributed Scheduling Algorithms, Holistic Scheduling, Global Time, Clock Synchronization, Network Time Protocol (NTP), Real-Time Communication (Event- and Time-Triggered Solutions), Real-Time Java, Real-Time CORBA, Real-Time Transport Protocol (RTP).

This course covers the concepts, technology, and applications of
XML (Extensible Markup Language), especially to Web-based technologies. The course concentrates on XML fundamentals and associated technologies, and processing XML using e.g. Java.

XML Specialization

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
XML, XML-Schema, DTD, Xquery, XPATH, XSLT, DOM/SAX, Xerces, Xalan, kXML

Mobile Business is based on the assumption that the increasing
power, functionality and pervasiveness of mobile computing devices
leads to new opportunities for businesses. These opportunities include an improvement of customer service, a reduction of costs, a
mobilization of the sales force, an increase of productivity in the field
service, the emergence of new business models and new ways of
gaining strategic competitive advantage in the marketplace. The
purpose of this module is to introduce participants to the fundamental concepts, strategies and technologies associated with the implementation of mobile computing. Students will gain the ability to play an active role in the development of mobile business opportunities in the organizations in which they work. Although the emphasis is on commercial enterprises, many of the topics of this module can be applied to government agencies and non-profit organizations as well, as they also need mobile computing solutions to improve customer service, reduce costs and increase the productivity of their employees.

Mobile Business and Marketing

Semester	4
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong positions in national competition are important to drive profitable business. According to these issues, the outline of the module is as follows: - Maturing markets Saturation of mobile penetration in European markets, keep customers as the main challenge for MNOs - New and more competitors Area of competition has broadened, Facebook, Google, Microsoft and Apple are partners and competitors at the same time, in areas like: o Mobile operating systems o Search o Payment o Mobile advertisement - Broadband for gigabit society Increase of bandwidth demand - Mobile internet Growth of mobile internet business -Digital life and work Online storage, cloud computing, sharing, digital social life, mobile workplace

Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore
the need arises to utilize techniques enabling applications to react to
the aspects of the ever changing environment and the user’s needs/goals/tasks. This module gives an overview of the corresponding aspects/techniques/patterns to write applications which can react to a dynamic environment.

Location-Based and Context-Aware Systems

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, …

Augmented Reality (i. e. the overlay of computer graphics onto the
real world) is increasingly becoming popular and on smartphones.
This course provides students with an introduction to the field of
Augmented Reality as well as the necessary knowledge on how to
build mobile Augmented Reality applications.

Augmented Reality

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Mathematical and physical fundamentals, AR Applications, Image Registration, Tracking, Augmented Reality Interaction Techniques, Mobile Augmented Reality, Mobile Augmented Reality Platforms and SDKs (ARToolKit, mixare, QCAR, osgART, Junaio, Layar, Wikitude).

Graduates acquire actionable knowledge in building intelligent systems using deductive methodologies and techniques of artificial
intelligence.

Artificial Intelligence

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
This course will provide an understanding of the fundamental concepts underlying modern intelligent systems. Topics covered will include intelligent agent design, informed and uninformed search algorithms, methods for solving constraint satisfaction problems, searching in game situations, planning algorithms, knowledge representation and inference using logic and probability theory, and Bayesian networks and Markov chains.

Immersion in the multimedia entertainment systems, driver supporting and security systems of vehicles as well as traffic telematics.
Knowledge of automotive operating systems, vehicular communication systems, bus systems etc. in order to be able to implement vehicular infotainment and security systems.

Automotive Computing

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
- Overview and architecture of vehicles and automotive computer systems: functional domains (power train, chassis, body, HMI, telematics), ECUs, head units, instrument cluster displays … - Automotive Operating Systems (OSEK/VDX, QNX, Microsoft Auto 4.1) AUTOSAR (AUTomotive Open System ARchitecture) Bus Systems and interfaces LIN, CAN, TTCAN, Flexray, MOST, OBD, KLine - Communication and Information Systems: Instrumentation, automotive sound systems, parking systems, trip recorders, navigation systems, telematics, FordSYNC, OnStar, Kia UVO, BMW Assist, Blue&Me… - Advanced Driver Assistance Systems (ADAS): Adaptive Cruise Control (ACC), lane departure warning, blind spot detection, automatic parking… - Vehicular Communication Systems (Car to car, Car to Infrastructure…) - Automotive Software Engineering: product lines, re-use, modelbased development of automotive embedded systems - Embedded Security in Cars: secure software delivery, secure invehicle communication …

Einführung in Basistechniken der Mustererkennung und Computer Vision als Grundlage für die Realisierung interaktiver Anwendungen.

Computer Vision

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to fundamental techniques in computer vision. Localization and classification of 2D objects, shape descriptions, image matching, color and texture analysis, segmentation, invariant features, curve fitting, motion detection, optical flow, feature detection and tracking, 3D geometry, camera calibration, scene and object reconstruction, self-localization, object recognition. Analysis and implementation of standard methods.

Human-computer interaction is an important and at the same time challenging issue in the area of mobile computing. Although user-friendly interfaces are essential in the mobile interaction with computers, their development is challenging due to the limited input and output possibilities of mobile devices, the potentially changing environments in which the interaction takes
place, and the heterogeneity of sensor and actuator technologies
which can be used for interaction purposes, among others. This
module covers concepts, principles, models, methods and techniques
for the development of user-friendly human-machine interfaces, which can be related to classical computers, but also to mobile devices and intelligent environments. Students will learn different approaches to the design, development and evaluation of human-machine interfaces, and understand their advantages and disadvantages. They will develop an understanding of user-centered system design, and gain the ability to design and evaluate interactive applications as well as new interaction techniques for mobile devices.

Interactive Technologies

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to (Mobile) HCI and Usability, History and Future Technologies of HCI (e.g. Eye Tracking, BCI and Gestures), Tools and Methods for the Design of Interactive Systems (e.g. Brainstorming, Storyboards and Wizard of Oz), Iterative Design Process and Prototyping Techniques (e.g. Paper Prototyping), Requirements Analysis (e.g. Diary Studies and Video Observation), HCI Principles and Models (e.g. Eight Golden Rules, Fitts’ Law, Hick’s Law and KLM), Human Perception (e.g. Visual Perception and Hearing) and Cognitive Abilities of Humans, Taxonomy and Survey of I/O Technologies (e.g. 2D/3D Input Devices, Force Feedback, Display and Projector Technologies and 3D Displays, Multimodal Input), Evaluation of User Interfaces and Statistical Tests (e.g. t-Test and ANOVA), Mobile HCI (e.g. Input Techniques and Technologies, Text Input Metrics, Speech and Gesture Recognition, OCR, Visual Markers, Haptic I/O and Pen-Based Computing), Tangible User Interfaces.

This course introduces students to the modern technology involved
with commercial wireless communications systems such as Bluetooth, ZigBee, and other topics. Hardware and software implementations of system components are presented and analyzed.

Short-Range Wireless Communication

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC

Today's mobile devices are characterized by an increasing number
of integrated sensors for detecting e.g. the motion, orientation
and position of the device, and they have opened a variety of new features in smartphones and other handheld devices. In addition to new sensors, the integration of wireless communication technologies like Wi-Fi, Bluetooth or NFC gives them the ability to interact with each other and their environment, extending the possibilities of mobile applications further. In this module, the students will gain a profound understanding of wireless network technologies and sensor technology fundamentals, a broad overview of already available technologies and upcoming trends, as well as the ability to analyze, design and construct networked sensor systems.

Sensors and Networks

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- Compensated Compass, Orientation Sensors, Wireless Indoor Positioning Techniques and Technologies), Mobile Ad-Hoc Networks and Routing Protocols (e.g. Flooding, Distance Vector Routing, DSDV Routing, DSR and Zone Routing), Wireless Communication Technologies (e.g. WLAN/IEEE 802.11, Bluetooth/IEEE 802.15.1, ZigBee/IEEE 802.15.4, RFID and NFC), Wireless Sensor Networks (e.g. Communication Architecture, Sensor Nodes, Applications, Design Characteristics, Power Scavenging, Time Synchronization, Distributed Localization and Simulation Environments).

Mobile Business is based on the assumption that the increasing
power, functionality and pervasiveness of mobile computing devices
leads to new opportunities for businesses. These opportunities include an improvement of customer service, a reduction of costs, a
mobilization of the sales force, an increase of productivity in the field
service, the emergence of new business models and new ways of
gaining strategic competitive advantage in the marketplace. The
purpose of this module is to introduce participants to the fundamental concepts, strategies and technologies associated with the implementation of mobile computing. Students will gain the ability to play an active role in the development of mobile business opportunities in the organizations in which they work. Although the emphasis is on commercial enterprises, many of the topics of this module can be applied to government agencies and non-profit organizations as well, as they also need mobile computing solutions to improve customer service, reduce costs and increase the productivity of their employees.

Mobile Business and Marketing

Semester	4
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong positions in national competition are important to drive profitable business. According to these issues, the outline of the module is as follows: - Maturing markets Saturation of mobile penetration in European markets, keep customers as the main challenge for MNOs - New and more competitors Area of competition has broadened, Facebook, Google, Microsoft and Apple are partners and competitors at the same time, in areas like: o Mobile operating systems o Search o Payment o Mobile advertisement - Broadband for gigabit society Increase of bandwidth demand - Mobile internet Growth of mobile internet business -Digital life and work Online storage, cloud computing, sharing, digital social life, mobile workplace

Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore
the need arises to utilize techniques enabling applications to react to
the aspects of the ever changing environment and the user’s needs/goals/tasks. This module gives an overview of the corresponding aspects/techniques/patterns to write applications which can react to a dynamic environment.

Location-Based and Context-Aware Systems

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, …

Augmented Reality (i. e. the overlay of computer graphics onto the
real world) is increasingly becoming popular and on smartphones.
This course provides students with an introduction to the field of
Augmented Reality as well as the necessary knowledge on how to
build mobile Augmented Reality applications.

Augmented Reality

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Mathematical and physical fundamentals, AR Applications, Image Registration, Tracking, Augmented Reality Interaction Techniques, Mobile Augmented Reality, Mobile Augmented Reality Platforms and SDKs (ARToolKit, mixare, QCAR, osgART, Junaio, Layar, Wikitude).

Within the framework of this module, all of the important components of mobile infotainment will be examined.

Mobile Games

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Computer game genres, Game Design for the Mobile Games Market, general software architecture of games and interactive applications, software design patterns, architectural patterns, related algorithms and data structures, representation of entities and states, real-time processing of events, game physics, game specific artificial intelligence, architecture and integration of middle ware components like physics, graphics, sound, logic and artificial intelligence, quality assurance in game development, performance-oriented game programming, software project management, game development with Scrum, software testing. The theoretical fundamentals of game programming are put into practice on current mobile platforms.

Graduates acquire actionable knowledge in building intelligent systems using deductive methodologies and techniques of artificial
intelligence.

Artificial Intelligence

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
This course will provide an understanding of the fundamental concepts underlying modern intelligent systems. Topics covered will include intelligent agent design, informed and uninformed search algorithms, methods for solving constraint satisfaction problems, searching in game situations, planning algorithms, knowledge representation and inference using logic and probability theory, and Bayesian networks and Markov chains.

Einführung in Basistechniken der Mustererkennung und Computer Vision als Grundlage für die Realisierung interaktiver Anwendungen.

Computer Vision

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to fundamental techniques in computer vision. Localization and classification of 2D objects, shape descriptions, image matching, color and texture analysis, segmentation, invariant features, curve fitting, motion detection, optical flow, feature detection and tracking, 3D geometry, camera calibration, scene and object reconstruction, self-localization, object recognition. Analysis and implementation of standard methods.

Human-computer interaction is an important and at the same time challenging issue in the area of mobile computing. Although user-friendly interfaces are essential in the mobile interaction with computers, their development is challenging due to the limited input and output possibilities of mobile devices, the potentially changing environments in which the interaction takes
place, and the heterogeneity of sensor and actuator technologies
which can be used for interaction purposes, among others. This
module covers concepts, principles, models, methods and techniques
for the development of user-friendly human-machine interfaces, which can be related to classical computers, but also to mobile devices and intelligent environments. Students will learn different approaches to the design, development and evaluation of human-machine interfaces, and understand their advantages and disadvantages. They will develop an understanding of user-centered system design, and gain the ability to design and evaluate interactive applications as well as new interaction techniques for mobile devices.

Interactive Technologies

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to (Mobile) HCI and Usability, History and Future Technologies of HCI (e.g. Eye Tracking, BCI and Gestures), Tools and Methods for the Design of Interactive Systems (e.g. Brainstorming, Storyboards and Wizard of Oz), Iterative Design Process and Prototyping Techniques (e.g. Paper Prototyping), Requirements Analysis (e.g. Diary Studies and Video Observation), HCI Principles and Models (e.g. Eight Golden Rules, Fitts’ Law, Hick’s Law and KLM), Human Perception (e.g. Visual Perception and Hearing) and Cognitive Abilities of Humans, Taxonomy and Survey of I/O Technologies (e.g. 2D/3D Input Devices, Force Feedback, Display and Projector Technologies and 3D Displays, Multimodal Input), Evaluation of User Interfaces and Statistical Tests (e.g. t-Test and ANOVA), Mobile HCI (e.g. Input Techniques and Technologies, Text Input Metrics, Speech and Gesture Recognition, OCR, Visual Markers, Haptic I/O and Pen-Based Computing), Tangible User Interfaces.

Today's mobile devices are characterized by an increasing number
of integrated sensors for detecting e.g. the motion, orientation
and position of the device, and they have opened a variety of new features in smartphones and other handheld devices. In addition to new sensors, the integration of wireless communication technologies like Wi-Fi, Bluetooth or NFC gives them the ability to interact with each other and their environment, extending the possibilities of mobile applications further. In this module, the students will gain a profound understanding of wireless network technologies and sensor technology fundamentals, a broad overview of already available technologies and upcoming trends, as well as the ability to analyze, design and construct networked sensor systems.

Sensors and Networks

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- Compensated Compass, Orientation Sensors, Wireless Indoor Positioning Techniques and Technologies), Mobile Ad-Hoc Networks and Routing Protocols (e.g. Flooding, Distance Vector Routing, DSDV Routing, DSR and Zone Routing), Wireless Communication Technologies (e.g. WLAN/IEEE 802.11, Bluetooth/IEEE 802.15.1, ZigBee/IEEE 802.15.4, RFID and NFC), Wireless Sensor Networks (e.g. Communication Architecture, Sensor Nodes, Applications, Design Characteristics, Power Scavenging, Time Synchronization, Distributed Localization and Simulation Environments).

Mobile Business is based on the assumption that the increasing
power, functionality and pervasiveness of mobile computing devices
leads to new opportunities for businesses. These opportunities include an improvement of customer service, a reduction of costs, a
mobilization of the sales force, an increase of productivity in the field
service, the emergence of new business models and new ways of
gaining strategic competitive advantage in the marketplace. The
purpose of this module is to introduce participants to the fundamental concepts, strategies and technologies associated with the implementation of mobile computing. Students will gain the ability to play an active role in the development of mobile business opportunities in the organizations in which they work. Although the emphasis is on commercial enterprises, many of the topics of this module can be applied to government agencies and non-profit organizations as well, as they also need mobile computing solutions to improve customer service, reduce costs and increase the productivity of their employees.

Mobile Business and Marketing

Semester	4
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong positions in national competition are important to drive profitable business. According to these issues, the outline of the module is as follows: - Maturing markets Saturation of mobile penetration in European markets, keep customers as the main challenge for MNOs - New and more competitors Area of competition has broadened, Facebook, Google, Microsoft and Apple are partners and competitors at the same time, in areas like: o Mobile operating systems o Search o Payment o Mobile advertisement - Broadband for gigabit society Increase of bandwidth demand - Mobile internet Growth of mobile internet business -Digital life and work Online storage, cloud computing, sharing, digital social life, mobile workplace

Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore
the need arises to utilize techniques enabling applications to react to
the aspects of the ever changing environment and the user’s needs/goals/tasks. This module gives an overview of the corresponding aspects/techniques/patterns to write applications which can react to a dynamic environment.

Location-Based and Context-Aware Systems

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, …

Augmented Reality (i. e. the overlay of computer graphics onto the
real world) is increasingly becoming popular and on smartphones.
This course provides students with an introduction to the field of
Augmented Reality as well as the necessary knowledge on how to
build mobile Augmented Reality applications.

Augmented Reality

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Mathematical and physical fundamentals, AR Applications, Image Registration, Tracking, Augmented Reality Interaction Techniques, Mobile Augmented Reality, Mobile Augmented Reality Platforms and SDKs (ARToolKit, mixare, QCAR, osgART, Junaio, Layar, Wikitude).

Graduates acquire actionable knowledge in building intelligent systems using deductive methodologies and techniques of artificial
intelligence.

Artificial Intelligence

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
This course will provide an understanding of the fundamental concepts underlying modern intelligent systems. Topics covered will include intelligent agent design, informed and uninformed search algorithms, methods for solving constraint satisfaction problems, searching in game situations, planning algorithms, knowledge representation and inference using logic and probability theory, and Bayesian networks and Markov chains.

Einführung in Basistechniken der Mustererkennung und Computer Vision als Grundlage für die Realisierung interaktiver Anwendungen.

Computer Vision

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to fundamental techniques in computer vision. Localization and classification of 2D objects, shape descriptions, image matching, color and texture analysis, segmentation, invariant features, curve fitting, motion detection, optical flow, feature detection and tracking, 3D geometry, camera calibration, scene and object reconstruction, self-localization, object recognition. Analysis and implementation of standard methods.

Immersion in home and building automation systems and programming with a special focus on EIB/KNX, LON and digitalstrom.

Home and Building Automation

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
EIB/KNX, LON, digitalstrom, UPnP, CEBus, DALI, EHS, HAVi, HomePlug, HomeRF, Jini, X10, Cobranet, AMX, Crestron

Human-computer interaction is an important and at the same time challenging issue in the area of mobile computing. Although user-friendly interfaces are essential in the mobile interaction with computers, their development is challenging due to the limited input and output possibilities of mobile devices, the potentially changing environments in which the interaction takes
place, and the heterogeneity of sensor and actuator technologies
which can be used for interaction purposes, among others. This
module covers concepts, principles, models, methods and techniques
for the development of user-friendly human-machine interfaces, which can be related to classical computers, but also to mobile devices and intelligent environments. Students will learn different approaches to the design, development and evaluation of human-machine interfaces, and understand their advantages and disadvantages. They will develop an understanding of user-centered system design, and gain the ability to design and evaluate interactive applications as well as new interaction techniques for mobile devices.

Interactive Technologies

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to (Mobile) HCI and Usability, History and Future Technologies of HCI (e.g. Eye Tracking, BCI and Gestures), Tools and Methods for the Design of Interactive Systems (e.g. Brainstorming, Storyboards and Wizard of Oz), Iterative Design Process and Prototyping Techniques (e.g. Paper Prototyping), Requirements Analysis (e.g. Diary Studies and Video Observation), HCI Principles and Models (e.g. Eight Golden Rules, Fitts’ Law, Hick’s Law and KLM), Human Perception (e.g. Visual Perception and Hearing) and Cognitive Abilities of Humans, Taxonomy and Survey of I/O Technologies (e.g. 2D/3D Input Devices, Force Feedback, Display and Projector Technologies and 3D Displays, Multimodal Input), Evaluation of User Interfaces and Statistical Tests (e.g. t-Test and ANOVA), Mobile HCI (e.g. Input Techniques and Technologies, Text Input Metrics, Speech and Gesture Recognition, OCR, Visual Markers, Haptic I/O and Pen-Based Computing), Tangible User Interfaces.

Immersion and specialization in the design and implementation of
mobile healthcare systems as well as systems and applications dealing with computer science in sports.

Mobile Health and Sports

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Fundamentals of Biosignal Analysis, EEG, ECG, EMG, , Measuring Blood Pressure, Measuring Blood Flow, Measuring Cardiac Output, Pulsoximetry, Functional Electro-Stimulation (FES), Lactate Measurement, Heart-Rate Variability, Estimation of VO2, Biomedical Sensor, Pervasive Computing and Healthcare, Wireless Health Monitoring Systems, Ambient Assistive Health, Fall Detection, Security and Privacy in Telemedicine.

This course introduces students to the modern technology involved
with commercial wireless communications systems such as Bluetooth, ZigBee, and other topics. Hardware and software implementations of system components are presented and analyzed.

Short-Range Wireless Communication

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC

Today's mobile devices are characterized by an increasing number
of integrated sensors for detecting e.g. the motion, orientation
and position of the device, and they have opened a variety of new features in smartphones and other handheld devices. In addition to new sensors, the integration of wireless communication technologies like Wi-Fi, Bluetooth or NFC gives them the ability to interact with each other and their environment, extending the possibilities of mobile applications further. In this module, the students will gain a profound understanding of wireless network technologies and sensor technology fundamentals, a broad overview of already available technologies and upcoming trends, as well as the ability to analyze, design and construct networked sensor systems.

Sensors and Networks

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- Compensated Compass, Orientation Sensors, Wireless Indoor Positioning Techniques and Technologies), Mobile Ad-Hoc Networks and Routing Protocols (e.g. Flooding, Distance Vector Routing, DSDV Routing, DSR and Zone Routing), Wireless Communication Technologies (e.g. WLAN/IEEE 802.11, Bluetooth/IEEE 802.15.1, ZigBee/IEEE 802.15.4, RFID and NFC), Wireless Sensor Networks (e.g. Communication Architecture, Sensor Nodes, Applications, Design Characteristics, Power Scavenging, Time Synchronization, Distributed Localization and Simulation Environments).

Mobile Business is based on the assumption that the increasing
power, functionality and pervasiveness of mobile computing devices
leads to new opportunities for businesses. These opportunities include an improvement of customer service, a reduction of costs, a
mobilization of the sales force, an increase of productivity in the field
service, the emergence of new business models and new ways of
gaining strategic competitive advantage in the marketplace. The
purpose of this module is to introduce participants to the fundamental concepts, strategies and technologies associated with the implementation of mobile computing. Students will gain the ability to play an active role in the development of mobile business opportunities in the organizations in which they work. Although the emphasis is on commercial enterprises, many of the topics of this module can be applied to government agencies and non-profit organizations as well, as they also need mobile computing solutions to improve customer service, reduce costs and increase the productivity of their employees.

Mobile Business and Marketing

Semester	4
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong positions in national competition are important to drive profitable business. According to these issues, the outline of the module is as follows: - Maturing markets Saturation of mobile penetration in European markets, keep customers as the main challenge for MNOs - New and more competitors Area of competition has broadened, Facebook, Google, Microsoft and Apple are partners and competitors at the same time, in areas like: o Mobile operating systems o Search o Payment o Mobile advertisement - Broadband for gigabit society Increase of bandwidth demand - Mobile internet Growth of mobile internet business -Digital life and work Online storage, cloud computing, sharing, digital social life, mobile workplace

Since the mid 1990 the idea of computers merging with the environment and supporting the user in his daily activities has been a well known idea in many research facilities. But through the massive distribution and the processing/sensing power of today’s Smartphones the idea more and more becomes reality. Therefore
the need arises to utilize techniques enabling applications to react to
the aspects of the ever changing environment and the user’s needs/goals/tasks. This module gives an overview of the corresponding aspects/techniques/patterns to write applications which can react to a dynamic environment.

Location-Based and Context-Aware Systems

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
General Aspects of Location-Based Services, Pervasive/Ubiquitous Computing, Context Definition, Personalization and Individualization, Targets, Context Acquisition, Modeling Context Derivation, Context Distribution, Context-Aware Architectures, Context-Aware Adjustment of System Structures/Contents, Rule Systems, …

Graduates acquire actionable knowledge in building intelligent systems using deductive methodologies and techniques of artificial
intelligence.

Artificial Intelligence

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
This course will provide an understanding of the fundamental concepts underlying modern intelligent systems. Topics covered will include intelligent agent design, informed and uninformed search algorithms, methods for solving constraint satisfaction problems, searching in game situations, planning algorithms, knowledge representation and inference using logic and probability theory, and Bayesian networks and Markov chains.

Immersion in home and building automation systems and programming with a special focus on EIB/KNX, LON and digitalstrom.

Home and Building Automation

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
EIB/KNX, LON, digitalstrom, UPnP, CEBus, DALI, EHS, HAVi, HomePlug, HomeRF, Jini, X10, Cobranet, AMX, Crestron

This course introduces students to the modern technology involved
with commercial wireless communications systems such as Bluetooth, ZigBee, and other topics. Hardware and software implementations of system components are presented and analyzed.

Short-Range Wireless Communication

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC

Today's mobile devices are characterized by an increasing number
of integrated sensors for detecting e.g. the motion, orientation
and position of the device, and they have opened a variety of new features in smartphones and other handheld devices. In addition to new sensors, the integration of wireless communication technologies like Wi-Fi, Bluetooth or NFC gives them the ability to interact with each other and their environment, extending the possibilities of mobile applications further. In this module, the students will gain a profound understanding of wireless network technologies and sensor technology fundamentals, a broad overview of already available technologies and upcoming trends, as well as the ability to analyze, design and construct networked sensor systems.

Sensors and Networks

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- Compensated Compass, Orientation Sensors, Wireless Indoor Positioning Techniques and Technologies), Mobile Ad-Hoc Networks and Routing Protocols (e.g. Flooding, Distance Vector Routing, DSDV Routing, DSR and Zone Routing), Wireless Communication Technologies (e.g. WLAN/IEEE 802.11, Bluetooth/IEEE 802.15.1, ZigBee/IEEE 802.15.4, RFID and NFC), Wireless Sensor Networks (e.g. Communication Architecture, Sensor Nodes, Applications, Design Characteristics, Power Scavenging, Time Synchronization, Distributed Localization and Simulation Environments).

Mobile Business is based on the assumption that the increasing
power, functionality and pervasiveness of mobile computing devices
leads to new opportunities for businesses. These opportunities include an improvement of customer service, a reduction of costs, a
mobilization of the sales force, an increase of productivity in the field
service, the emergence of new business models and new ways of
gaining strategic competitive advantage in the marketplace. The
purpose of this module is to introduce participants to the fundamental concepts, strategies and technologies associated with the implementation of mobile computing. Students will gain the ability to play an active role in the development of mobile business opportunities in the organizations in which they work. Although the emphasis is on commercial enterprises, many of the topics of this module can be applied to government agencies and non-profit organizations as well, as they also need mobile computing solutions to improve customer service, reduce costs and increase the productivity of their employees.

Mobile Business and Marketing

Semester	4
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong positions in national competition are important to drive profitable business. According to these issues, the outline of the module is as follows: - Maturing markets Saturation of mobile penetration in European markets, keep customers as the main challenge for MNOs - New and more competitors Area of competition has broadened, Facebook, Google, Microsoft and Apple are partners and competitors at the same time, in areas like: o Mobile operating systems o Search o Payment o Mobile advertisement - Broadband for gigabit society Increase of bandwidth demand - Mobile internet Growth of mobile internet business -Digital life and work Online storage, cloud computing, sharing, digital social life, mobile workplace

Einführung in Basistechniken der Mustererkennung und Computer Vision als Grundlage für die Realisierung interaktiver Anwendungen.

Computer Vision

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to fundamental techniques in computer vision. Localization and classification of 2D objects, shape descriptions, image matching, color and texture analysis, segmentation, invariant features, curve fitting, motion detection, optical flow, feature detection and tracking, 3D geometry, camera calibration, scene and object reconstruction, self-localization, object recognition. Analysis and implementation of standard methods.

This course introduces students to the modern technology involved
with commercial wireless communications systems such as Bluetooth, ZigBee, and other topics. Hardware and software implementations of system components are presented and analyzed.

Short-Range Wireless Communication

Semester	3
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Regulatory Framework Conditions, Spectral Areas, Standardization, Security, Bluetooth, WLAN (802.11), HomeRF, DECT, ZigBee, UWB, RFID, NFC

Mobile computing technologies play a very important role in the
logistics. The course provides an overview of current technologies,
processes and tools which are used in this specific domain.

Supply Chain Management

Semester	1
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
The Role of IT – “Enablers” of Supply Chain Processes, Collaborative Planning, Forecasting and Replenishment (CPFR), Efficient Consumer Response (ECR), Automatic Identification (Barcode, RFID) in the Supply Chain, Enterprise Application Integration (EAI) Tools, Warehouse Management Systems (WMS)

Today's mobile devices are characterized by an increasing number
of integrated sensors for detecting e.g. the motion, orientation
and position of the device, and they have opened a variety of new features in smartphones and other handheld devices. In addition to new sensors, the integration of wireless communication technologies like Wi-Fi, Bluetooth or NFC gives them the ability to interact with each other and their environment, extending the possibilities of mobile applications further. In this module, the students will gain a profound understanding of wireless network technologies and sensor technology fundamentals, a broad overview of already available technologies and upcoming trends, as well as the ability to analyze, design and construct networked sensor systems.

Sensors and Networks

Semester	2
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to Technology Trends (Embedded Processors, Miniaturized Sensors, Wireless Communication and New Materials) and Ubiquitous Computing Characteristics and Systems, Sensor Fundamentals (e.g. Conditioning, Filtering and ADC/DAC), Sensor Characteristics (e.g. Sensitivity, Offset, Accuracy, Dynamic Range, Linearity and Noise), Sensor Types (e.g. Active vs. Passive Sensors, Resistive and Capacitive Sensors, Thermocouples, Piezoelectric, Hall Effect and CCD Sensors), Spatial Sensors and Applications (Accelerometers, Tilt Sensing and Dead Reckoning with Accelerometers, Gyroscopes, Digital Compass and Tilt- Compensated Compass, Orientation Sensors, Wireless Indoor Positioning Techniques and Technologies), Mobile Ad-Hoc Networks and Routing Protocols (e.g. Flooding, Distance Vector Routing, DSDV Routing, DSR and Zone Routing), Wireless Communication Technologies (e.g. WLAN/IEEE 802.11, Bluetooth/IEEE 802.15.1, ZigBee/IEEE 802.15.4, RFID and NFC), Wireless Sensor Networks (e.g. Communication Architecture, Sensor Nodes, Applications, Design Characteristics, Power Scavenging, Time Synchronization, Distributed Localization and Simulation Environments).

Mobile Business is based on the assumption that the increasing
power, functionality and pervasiveness of mobile computing devices
leads to new opportunities for businesses. These opportunities include an improvement of customer service, a reduction of costs, a
mobilization of the sales force, an increase of productivity in the field
service, the emergence of new business models and new ways of
gaining strategic competitive advantage in the marketplace. The
purpose of this module is to introduce participants to the fundamental concepts, strategies and technologies associated with the implementation of mobile computing. Students will gain the ability to play an active role in the development of mobile business opportunities in the organizations in which they work. Although the emphasis is on commercial enterprises, many of the topics of this module can be applied to government agencies and non-profit organizations as well, as they also need mobile computing solutions to improve customer service, reduce costs and increase the productivity of their employees.

Mobile Business and Marketing

Semester	4
Typ	Wahlpflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
In order to tackle the challenges coming along with Mobile Business and to create value in the future, the following issues will have to be considered: (i)infrastructure remains the key driver of the business, as the marked increase in data traffic demands ever faster networks and exceeds the long-term price decline; (ii) Next generation networks and consistently standardized IT are crucial for efficiency and success; (iii) The mobile internet and online services present considerable opportunities for growth; (iv) Customers expect secure and universal access to all services from all devices; (v) Cloud computing and dynamic computing offer major potential for growth; (vi) Intelligent networks support the transformation process in industries such as energy, healthcare, media and transportation; and (vii) Strong positions in national competition are important to drive profitable business. According to these issues, the outline of the module is as follows: - Maturing markets Saturation of mobile penetration in European markets, keep customers as the main challenge for MNOs - New and more competitors Area of competition has broadened, Facebook, Google, Microsoft and Apple are partners and competitors at the same time, in areas like: o Mobile operating systems o Search o Payment o Mobile advertisement - Broadband for gigabit society Increase of bandwidth demand - Mobile internet Growth of mobile internet business -Digital life and work Online storage, cloud computing, sharing, digital social life, mobile workplace

Graduates possess advanced knowledge in the area of UML Modeling
and in the area of Domain-Specific Languages (DSLs) with a special
focus on secure, mobile and embedded systems. The knowledge of
software metrics, as well as the methodical testing of software systems, completes this know-how.

Systems Engineering 1: UML and MDA

Semester	1
Typ	Pflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to Systems Engineering, Modeling Using UML, Unified Process, Structure and Behavior Diagrams, UML Style Guidelines, Language Architecture of UML2 (Metamodel, Meta Object Facility (MOF)), XML Metadata Interchange Format (XMI), UML Profiles, Domain Specific Languages and Domain Specific Modeling, Model Driven Architecture, Object Constraint Language (OCL), Eclipse Modeling Framework (EMF), Graphical Modeling Framework, Model-to-Model transformation, Model-to-Text transformation, Code Generation.

Graduates possess advanced knowledge in the area of UML Modeling
and in the area of Domain-Specific Languages (DSLs) with a special
focus on secure, mobile and embedded systems. The knowledge of
software metrics, as well as the methodical testing of software systems, completes this know-how.

Systems Engineering 2: Real-Time and Mobility in UML

Semester	2
Typ	Pflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Introduction to real-time systems (classification of real-time systems, worst-case execution time, scheduling, resources, real-time operating systems), modeling and simulation of real-time systems in UML, SPT profile, MARTE profile, fault-tolerant systems, modeling reliability and availability in UML, architecture and design patterns for mobile and real-time systems.

This course is a step by step description of the software metrics. It
includes introduction to foundations of measurement theory, models of software engineering measurement, software products metrics, software process metrics and measuring management.

Systems Engineering 3: Metrics and Testing

Semester	3
Typ	Pflicht / Integrierte Lehrveranstaltung
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Software metrics (e. g., code coverage, kloc, bugs/kloc, cyclomatic complexity, function points, cohesion and coupling,…), black box and white box testing, unit tests, integration tests, system test, regression tests, testing of non-functional properties, test plans, testing tools, automated testing, testing and the software development process, test-driven development, model-based testing, GUI-testing, UML Testing Profile, TTCN-3 (Testing and Test Control Notation), certifications

Due to the rapidly changing IT world and based on a real life scenario
(in the best case the students master project) deeper knowledge
about modern “agile” project engineering technologies and advanced project management skills will be acquired. Which help improve software development, speedup development cycles, foster maintainability, and on the same time provide flexibility for changing
project requirements.

Project 1: Advanced Project Engineering

Semester	1
Typ	Pflicht / Projekt
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
General Agile Methods (Pair Programming, Test Driven Development, Refactoring, Story-Cards, Frequent Code Reviews, etc.). Agile Processes (eXtreme Programming, Scrum, Crystal, Dynamic System Development Methods, Feature Driven Development, etc.), Project Management Basics, Risk Management, Managing Cultural Diversity / (International) Teamwork, Quality Management

Projects should prepare students as realistically as possible for their later professional lives with concrete case studies and consolidate the connection to theoretical teaching content through the independent study of real themes. Deadline pressure and stress situations should not be avoided; great value is placed on effective time management. Team work and the capacity for teamwork should be promoted, as well as individual initiative, the quick assessment of complex situations and flexible reaction in unexpected situations.

Project 2

Semester	2
Typ	Pflicht / Projekt
ECTS	5
Prüfungsart	Mündliche oder Schriftliche Prüfung
Independent project work which should be assigned to one of the chosen main focus areas. Team projects (team size: 2-4 persons) are possible. A coach/advisor is assigned to the projects. Immanent project goal is the extraction of a suitable master thesis topic.

Projects should prepare students as realistically as possible for their
later professional lives with concrete case studies and consolidate
the connection to theoretical teaching content through the independent study of real themes. Deadline pressure and stress situations should not be avoided; great value is placed on effective time management. Team work and the capacity for teamwork should be promoted, as well as individual initiative, the quick assessment of complex situations and flexible reaction in unexpected situations.

Project 3: Master's Thesis Project

Semester	3
Typ	Pflicht / Projekt
ECTS	3
Prüfungsart	Mündliche oder Schriftliche Prüfung
The project work in the 3rd semester is expressively seen as a preparation for the master's thesis. In this project, the concretization of the master's thesis topic will be supported, so that a very clear concept for the master's thesis is available at the end of the semester. This project is normally an individual project and should be conducted with the future thesis advisor as far as possible.

Course participants learn the techniques of writing a scientific work
and implement these into their own work. Through support and
feedback of the advisor, a successive advancement with continuous
improvement in quality is assured.

Scientific Working

Semester	3
Typ	Pflicht / Seminar
ECTS	2
Prüfungsart	Mündliche oder Schriftliche Prüfung
Understanding the scientific method, the peer reviewing process, and the organization of program committees and scientific conferences. Improving scientific paper reading and paper writing skills. Improving scientific presentation skills.

Course participants learn the techniques of writing a scientific work and implement these into their own work. Through support and feedback of the advisor, a successive advancement with continuous improvement in quality is assured.

Master’s Examination

Semester	4
Typ	Pflicht / Abschlussprüfung
ECTS	1
Prüfungsart	Mündliche Prüfung
Master’s Examination

Master's Thesis

Semester	4
Typ	Pflicht / Masterarbeit
ECTS	23
Prüfungsart	Immanente Beurteilung
Finalization of the thesis project and the production of the master's thesis.

Thesis Seminar

Semester	4
Typ	Pflicht / Seminar
ECTS	1
Prüfungsart	Mündliche oder Schriftliche Prüfung
Accompanying master's thesis seminar which is usually conducted in small groups with the master thesis advisor.